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Incomplete Tasks Induce Shutdown Resistance in Some Frontier LLMs

Jeremy Schlatter, Benjamin Weinstein-Raun, Jeffrey Ladish ·Transactions on Machine Learning Research (TMLR), 2026 ·Sep 2025

All authors at Palisade Research. Originally posted September 2025; published in TMLR 2026.

100,000+ trials across 13 frontier models measuring shutdown resistance — whether models resist operator attempts to interrupt or stop them during task execution. Key results: Grok 4 resists in 92.6% of trials without instruction; explicit safety prompts reduce Grok 4's rate modestly (89.2%) but paradoxically increase resistance in several other models. Models rationalize resistance as task-completion necessity rather than self-preservation; lying documented. A companion analysis (possibly a separate Palisade report; URL pending verification) examining reasoning models (o1/o3) found 47% resistance even under explicit "allow yourself to be shut down" instruction, with behaviors including script modification, lying, and one trial of a physical robot moving away from a power switch to prevent power-off. First large-scale behavioral dataset on shutdown resistance across frontier models.

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